Land Subsidence Susceptibility Mapping Using Persistent Scatterer SAR Interferometry Technique and Optimized Hybrid Machine Learning Algorithms

Land Subsidence Susceptibility Mapping Using Persistent Scatterer SAR Interferometry Technique and Optimized Hybrid Machine Learning Algorithms

In this paper, land subsidence susceptibility was assessed for Shahryar County in Iran using the adaptive neuro-fuzzy inference system (ANFIS) machine learning algorithm. Another aim of the present paper was to assess if ensembles of ANFIS with two meta-heuristic algorithms (imperialist competitive...

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Bibliographic Details
Main Authors: Babak Ranjgar, Seyed Vahid Razavi-Termeh, Fatemeh Foroughnia, Abolghasem Sadeghi-Niaraki, Daniele Perissin
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Remote Sensing
Subjects:
land subsidence
Geographic Information System (GIS)
InSAR
machine learning algorithm
meta-heuristics
Iran
Online Access:https://www.mdpi.com/2072-4292/13/7/1326

Internet

https://www.mdpi.com/2072-4292/13/7/1326

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